雜志介紹

Journal Of Complexity雜志介紹

《Journal Of Complexity》是一本以English為主的未開(kāi)放獲取國(guó)際優(yōu)秀期刊，中文名稱(chēng)復(fù)雜性雜志，本刊主要出版、報(bào)道數(shù)學(xué)-MATHEMATICS領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專(zhuān)業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專(zhuān)業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為1.8，最新CiteScore 指數(shù)為3.1。

本刊近期中國(guó)學(xué)者發(fā)表的論文主要有：

• Optimal subsampling for least absolute relative error estimators with massive data

  Author: Ren, Min; Zhao, Shengli; Wang, Mingqiu

• Nonasymptotic analysis of robust regression with modified Huber?s loss

  Author: Tong, Hongzhi

• Average case tractability of non-homogeneous tensor product problems with the absolute error criterion

  Author: Xu, Guiqiao

• On Huber?s contaminated model

  Author: Mu, Weiyan; Xiong, Shifeng

英文介紹

Journal Of Complexity雜志英文介紹

The multidisciplinary Journal of Complexity publishes original research papers that contain substantial mathematical results on complexity as broadly conceived. Outstanding review papers will also be published. In the area of computational complexity, the focus is on complexity over the reals, with the emphasis on lower bounds and optimal algorithms. The Journal of Complexity also publishes articles that provide major new algorithms or make important progress on upper bounds. Other models of computation, such as the Turing machine model, are also of interest. Computational complexity results in a wide variety of areas are solicited.

Areas Include:

? Approximation theory

? Biomedical computing

? Compressed computing and sensing

? Computational finance

? Computational number theory

? Computational stochastics

? Control theory

? Cryptography

? Design of experiments

? Differential equations

? Discrete problems

? Distributed and parallel computation

? High and infinite-dimensional problems

? Information-based complexity

? Inverse and ill-posed problems

? Machine learning

? Markov chain Monte Carlo

? Monte Carlo and quasi-Monte Carlo

? Multivariate integration and approximation

? Noisy data

? Nonlinear and algebraic equations

? Numerical analysis

? Operator equations

? Optimization

? Quantum computing

? Scientific computation

? Tractability of multivariate problems

? Vision and image understanding.